Data Specialist


Bengaluru, KA, IN

Company:  ExxonMobil

Job Role Summary


ExxonMobil, one of the largest publicly traded international energy companies, uses technology and innovation to help meet the world’s growing energy needs. ExxonMobil holds an industry-leading inventory of resources, is one of the largest refiners and marketers of petroleum products, and its chemical company is one of the largest in the world. To learn more about ExxonMobil in India, visit ExxonMobil India. Follow us on Twitter and LinkedIn.


• Bachelor's degree with a minimum of 5 years of experience in data analysis/reporting, data transformation, data modeling and visualization            
• A highly motivated team player with excellent oral and written communication skills
• Customer orientation and ability to adapt/respond effectively with  different individuals across geographical regions, cultures and senior business leaders
• Collaborate and is willing to take up additional responsibilities and demonstrate initiatives
• Data query, extraction and entry experience in Information Technology (IT) applications
• Experience leading or facilitating groups to achieve a common goal
• Experience coordinating efforts across multiple levels of the organization and across geographical regions
• Skills in analyzing and troubleshooting data integrity issues
• Demonstrates high attention to detail
• Ability to multi-task, prioritize and manage time effectively
• Experience working independently
• Flag issues proactively, suggest new ideas to improve processes/systems/tools           
• Tests the current process and provide better solutions
• Develop quick & simple fit-for-purpose tools using available resources
• Flexibility to work hours/shifts in alignment with customer needs

Job Role Responsibilities



• Extract data for routine and ad hoc reports from Safety, Security, Health and Environment (SSHE) systems
• Review data from reports and across multiple sources for quality and completeness
• Format or populate templates to report incident counts in computer applications
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Facilitate data confirmation/corrections in SSHE applications with key personnel
• Create and/or update tables and graphs in stewardship slides
• Generate data insights from complex data sets to make key decisions
• Contribute to the advance data/analytics strategy and roadmap activities
• Evaluate and recommend other database & analytics technologies – Cloud, machine learning, artificial intelligence, BI tools, connectors, and accelerators
• Responsible for development, deployment and sustainment of advanced analytical algorithm and automated solutions
• Respond to data requests using various modes of communication
• Generate data and/or analyses in response to requests                        
• Coordinate and consolidate data collection in support of SSHE processes
• Populate templates for external reporting requirements                
• Maintain a base knowledge of SSHE Guidance Documents     
• Lead and coordinate relevant SSHE Networks


Expected Level of Proficiency


• Expertise in MS Office Applications (Excel, Word, Power Point)
    o Intermediate/advanced Microsoft Excel skills (PivotTables, VBA, complex formulas, integrating with other programs using data cubes (SSAS-Microsoft SQL Server Analysis Services) or data connections.                                                             
• Experience and advanced knowledge in using statistical computer languages and tools (R, Python, MS-SQL) to manipulate data and draw insights from large data sets.
• Data Modeling Expertise:  good understanding / general working knowledge of statistical analysis and modeling, machine learning, pattern recognition, data visualization
• Analytical tool knowledge (Python, NumPy, Pandas, NLP (Natural Language Processing), Snowflake, Databricks etc.)
• Good to have experience on data visualization applications like Tableau, or Power BI
• Experience with deployment of user interface applications (e.g. OpenShift, Azure)


ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil.

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